Data Collection and Conclusions

According to this article, what is STATISTICS?

• Statistics is the universal language of the sciences that involves information, numbers, visual graphics to summarize information and its interpretation. In other words, the science of collecting, describing, and interpreting data.

• Statistics is a method of analyzing and collecting data that is not easily visible and must be described by using mathematics and other sciences.

• Statistics is using data, concluding data and making inferential theories from the information that has a positive normal distribution.

• Statistics involves using information, numbers, and descriptive conclusions to help businesses make corrective business decisions based on the descriptive techniques that create perfect graphs.

Descriptive statistics involves...

• collection, presentation, and description of sample data

• the technique of interpreting the values resulting from the descriptive techniques and making decisions and drawing conclusions about the population

• attempting to provide incorrect information and provide misleading graphs

• using information, numbers, and graphics even when data can't be collected

Branch of mathematics dealing with the way of collecting, processing, analyzing, and presenting data conclusions is called as

• Probability

• Statistics

information gathered from observations, surveys and experiments

• data

• population

• sample

• stats

branch of stats that draws conclusions

• descriptive

• inferential

Refers to the collection of facts where the researcher gets information.

• Collection of Data

• Organization of Data

• Analysis of Data

• None of the above

A type of statistics that involves drawing conclusions about a population based on information contained in a sample taken from that population.

• Descriptive

  Statistics

• Inferential Statistics

• Parametric

• Non Parametric

What is the branch of mathematics dealing with the collection, organization, analysis, interpretation and presentation of data?

• Algebra

• Geometry

• Probability

• Statistics